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Initial public release
2026-08-31 21:56:53 +02:00

1.0 KiB

Skill: QA/QC Review

Use this skill for comparing predicted geospatial outputs against reference layers such as GRB buildings.

Read first

  • docs/QA_QC_SPECIFICATION.md
  • docs/QA_QC_ENGINE.md
  • docs/qaqc/ANTI_REGRESSION_RULES.md
  • docs/API_EXAMPLE_RESPONSES.md

QA/QC rules

  • Reference data and predicted data must remain separate.
  • Matching thresholds must be explicit.
  • False positives and false negatives must be exportable.
  • Metrics must be reproducible from stored inputs.
  • Do not hide low-confidence results; classify or flag them.

Core metrics

  • IoU.
  • Precision.
  • Recall.
  • F1.
  • Matched count.
  • Unmatched reference count.
  • Unmatched prediction count.

Implementation checklist

  • Define matching method.
  • Implement geometry overlap calculation.
  • Calculate metrics.
  • Persist or return QA results.
  • Create GeoJSON outputs for matched/unmatched classes.
  • Add fixture-based tests.

Completion report fields

  • Matching method.
  • Thresholds.
  • Metrics returned.
  • Fixtures used.
  • Known QA limitations.